NVIDIA: Nemotron-3.5 Super VL 120B A12B
One API key. Live prices. Ready-to-run code.
5 Super VL is an open-weight vision-language model released in October 2026: a hybrid mixture-of-experts with 120B total and 12B active parameters.
Served on OneInfer by DeepInfra and OneInfer. Use it with the same API key and pay-as-you-go wallet as every other model in the catalog.
nvidia/Nvidia-Nemotron-3.5-Super-VL-120B-A12BCall Nemotron-3.5 Super VL 120B A12B in 5 steps
DeepInfra and OneInfer serve this model. The pricing table below lists each provider’s rate.
- Input tokens
- $0.150 / 1M tokens
- Output tokens
- $0.500 / 1M tokens
- Context
- 1M
- Input
- text, image, video
- Output
- text
- Tool calling
- Supported
About this model
NVIDIA Nemotron 3.5 Super VL is an open-weight vision-language model released in October 2026: a hybrid mixture-of-experts with 120B total and 12B active parameters. It reads text, images and video, supports reasoning and tool calling, and has a 1M-token context window.
Input modalities
text
Accepted as model input
image
Accepted as model input
video
Accepted as model input
Providers
Available routing options for this model through OneInfer.
- Available
- Input tokens
- $0.150 / 1M tokens
- Output tokens
- $0.500 / 1M tokens
- Routing
- OneInfer optimized
- Available
- Input tokens
- $0.150 / 1M tokens
- Output tokens
- $0.500 / 1M tokens
- Routing
- OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.150 / 1M tokens |
| Output tokens | $0.500 / 1M tokens |
| Cached input tokens | $0.020 / 1M tokens |
Performance and benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet.
API guide
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below.Check your credits
If your balance is too low, before calling the model.
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "nvidia/Nvidia-Nemotron-3.5-Super-VL-120B-A12B", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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